Brian Bailey

This project aims to develop AgML, an open-source Python library to accelerate agricultural AI by providing access to ML datasets, benchmarks, pre-trained models, workflows, and synthetic data generators. It builds on the successes of the Year 3 AIFS proposal, "AgML: Open-Source Infrastructure to Accelerate Scaling of Agricultural AI Technologies."

Biofortification tackles global micronutrient deficiencies through crop improvement without added inputs. To optimize breeding programs, an AI toolkit is being developed to predict and evaluate nutritional quality using machine learning. Open-source resources will benefit broader initiatives, and a hackathon will engage UC Davis students in advancing agricultural innovation.

Biofortification tackles global micronutrient deficiencies through crop improvement without added inputs. To optimize breeding programs, an AI toolkit is being developed to predict and evaluate nutritional quality using machine learning. Open-source resources will benefit broader initiatives, and a hackathon will engage UC Davis students in advancing agricultural innovation.